Postdoctoral Fellowship / Explainable AI in Medical Imaging (Northwestern University)

Monday 15th March 2021

Job opportunities 
• Postdoctoral Research Fellow position 
• Visiting Research Fellow position

Machine & Hybrid Intelligence Lab is seeking highly motivated postdoctoral fellows (with track record of productivity, MICCAI and relevant publications are recommended prior to application) on machine learning based medical image analysis problems on NIH R01 projects at the department of radiology, Northwestern University. 

We are particularly interested in developing 
(a) explainable machine learning algorithms for high-risk applications, and
(b) human-in-the-loop hybrid intelligence methods for computer aided diagnosis systems. 

We welcome all applicants with Ph.D. degrees with background in machine learning/deep learning and their applications in medical image analysis. The duration of the fellowship is 2-years and can be extended further.  

We also welcome self-funded visiting research fellows too. 

The department of radiology is dedicated to attracting current and future leaders of imaging sciences through our excellence in research and collaborative enterprise. The radiology department is located in downtown Chicago, IL.

Start Date: immediately
Close Date: Until filled

If interested, please email CV to Dr. Ulas Bagci ulas.bagci@northwestern.edu 

Department of Radiology, Feinberg School of Medicine, Northwestern University,
737 N.Michigan Avenue Suite 1600, Chicago, IL 60611, USA

 

Organization Northwestern University
Location Chicago
Title Postdoctoral Fellowship / Explainable AI in Medical Imaging
Email Address ulas.bagci@northwestern.edu